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Record W4381997149 · doi:10.1097/jp9.0000000000000133

Pancreatic adenocarcinoma and aging: understanding the menace for better management

2023· article· en· W4381997149 on OpenAlexaff
Tianxing Zhou, Jingrui Yan, Jihui Hao, Jun Yu

Bibliographic record

VenueJournal of Pancreatology · 2023
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsPancreatic ductal adenocarcinomaMedicinePancreatic cancerPathologicalAdenocarcinomaPopulation ageingIncidence (geometry)Mechanism (biology)PopulationCancerAgeingOncologyInternal medicineBioinformaticsBiology

Abstract

fetched live from OpenAlex

Pancreatic ductal adenocarcinoma (PDAC) is the leading cause of cancer-related death worldwide. As PDAC is more common in older adults and the population is aging, the incidence of pancreatic adenocarcinoma is expected to increase in the coming years. As a result, the mechanism and clinical management of PDAC in the elderly population is receiving more attention. This review will discuss age-related morphological and pathological changes, clinical management, surgery and adjuvant therapies, and molecular changes in elderly PDAC patients. More research is needed to clarify molecular mechanisms and develop new prevention and treatment strategies for PDAC in elderly patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.005
Open science0.0010.002
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0040.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.084
GPT teacher head0.364
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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